6708 PB Wageningen
I am a senior scientist at the Ruder Boskovic Institute (Zagreb, Croatia) and an honorary fellow at NIOO-KNAW. I am also a steering board member of the European Open Science Cloud, sub-group on policy.
My expertise covers the evolutionary ecology of bonding, life-history trade-offs, evidence synthesis, and data and code standards. I strive to apply my knowledge of different modelling approaches and Open Science to study and optimize the scientific process itself (using approach called meta-science). In this way, we can enable ecological research to reach its full potential.
My Open Science journey has started in 2015, and it continues. As a part of my efforts, I have co-founded SPI-Birds Network and Database (for FAIR data and codes, https://spibirds.org/en) and Society for Open, Reliable, and Transparent Ecology and Evolutionary biology (SORTEE https://www.sortee.org/). I am also participating in other open science initiatives, such as RDA, GoFAIR discovery IN, UNESCO Open Science, Open Knowledge Maps, and FIARsFAIR.
As a sole carer of a toddler, I have been experiencing many obstacles in managing my scientific career. I hope being vocal about this can help change the current evaluation, expectation, and promotion systems in science, and encourage practices that accommodate those in less common life situations.
Get in touch if you have any questions about my work, ideas for collaborative projects, or if you think your group would benefit from a workshop on open practices, meta-science, or meta-analysis.
Research waste is all research with no or limited information value. We estimated that research waste in Ecology is between 82%-89% of research. Research waste accumulates over the research lifecycle: much of the work is never published, studies are badly designed and their results cannot be trusted, and published studies do not report their results completely. We are now working on solutions to research waste. These include open science practices, but also other principles, such as the involvement of trained statisticians in science. For this, we are engaging with a range of stakeholders, as solutions to the research waste will work only if all the actors of the research ecosystem are involved (researchers, publishers, funders...).
Software code is an essential research component. It allows others to understand the work, reproduce its results, and use it in their own research. In this project, we first evaluated the reproducibility of published studies in ecology, which is very low (see Low availability of code in ecology: A call for urgent action | PLOS Biology). We now work on understanding how journal policies influence the availability of code. We also work on quantifying the extent of the importance of code for analytical reproducibility in ecology.
The project has established a novel approach to understanding pair bonding. The approach has major implications for how we study ecological and evolutionary processes as pair-bonds are essential for reproduction in most animals. More here https://www.nwo.nl/en/projects/016veni181054
In this project, we have studied how open science can reduce some of the problems that meta-analysis in ecology faces. We have also produced tools and guidelines for ecologists to navigate the open data landscape in ecology (see Navigating the unfolding open data landscape in ecology and evolution | Nature Ecology & Evolution), and to use open data in meta-analysis (see How to do meta-analysis of open datasets | Nature Ecology & Evolution).
NLBIF grants (Netherlands Biodiversity Information Facility) to work on data and meta-data standards, and link SPI-Birds Network and Database to GBIF.
In my outreach I focus on communicating:
1) my work to the general public
2) struggles and wins of an everyday scientists. Science must be more inclusive, and I hope my story can show that you do not have to work long hours, nor weekends, not do you have to over-publish to be a good (and happy) scientist!